Selective GPS Data Transmission for Traffic Monitoring
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Solution Overview
Problem
In densely populated cities, existing GPS-based traffic monitoring systems face challenges in accurately predicting traffic congestion and providing real-time traffic information due to the complexity of urban environments, making it difficult for drivers to navigate and find parking.
Innovation Solution
A traffic monitoring system that utilizes cellular phones and vehicles equipped with GPS to estimate and predict traffic levels by transmitting vector and location data selectively based on speed and road types, generating traffic reports, and adapting map data to identify new roads and paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based traffic monitoring systems continuously collect and transmit traffic data from all vehicles, then traffic information accuracy is improved, but system complexity and data processing requirements increase significantly
Solution Approach 1:
The patent extracts only the essential traffic data elements needed for accurate monitoring (location, speed, direction) while filtering out unnecessary information. The selective transmission based on speed thresholds and road types ensures data accuracy is maintained while reducing overall data volume and processing complexity.
Solution Approach 2:
The system segments traffic monitoring into different road types (highways, urban streets, rural roads) and applies different data collection strategies to each segment. This allows the system to maintain high accuracy on critical roads while reducing complexity on less important routes.
2Measurement precision
If the system collects data from all vehicles continuously, then traffic level estimation accuracy is improved, but energy consumption and communication overhead increase
Solution Approach 1:
The system implements periodic data transmission where vehicles send traffic information at intervals rather than continuously. The transmission frequency is adjusted based on traffic conditions, vehicle speed, and road type, maintaining estimation accuracy while significantly reducing energy consumption and communication overhead.
Solution Approach 2:
The system dynamically changes transmission parameters (data frequency, detail level) based on current traffic conditions, vehicle speed, and road type. This allows the system to maintain accurate traffic level estimation during critical periods while conserving energy during normal conditions.
3Ease of operation
If the system provides real-time traffic information for all roads, then navigation usefulness is improved, but information processing and transmission complexity increase
Solution Approach 1:
The system provides detailed real-time traffic information for specific local areas and road types where it is most needed (urban areas, highways), while providing summarized or less frequent updates for rural areas. This maintains navigation usefulness for critical routes while reducing overall processing complexity.
4Measurement precision
If the system monitors all vehicle movements continuously, then traffic congestion prediction accuracy is improved, but data transmission volume and network load increase
Solution Approach 1:
The system implements partial monitoring where vehicles transmit detailed traffic data only when specific conditions are met (speed changes, location changes, traffic congestion detected). This provides sufficient data for accurate congestion prediction on critical roads while significantly reducing overall data transmission volume.
Data Source
AI summary
A cellular phone comprises a cellular phone control module that controls the cellular phone, a global positioning system (GPS) selectively generates vector and location data, and a transmitter. The cellular phone control module selectively wirelessly transmits the vector and location data using the transmitter when at least one of the cellular phone is traveling on a first set of predetermined roads and does not transmit the vector and location data when the cellular phone is traveling on a second set of roads, and the cellular phone is traveling at a first speed that is greater than a predetermined speed.